n_0523 - This is binomial distribution. We want a...

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Chapter 5 Section 5.2 1 This is binomial distribution… We want a probability model for a count of successful outcomes. The teacher asks 50 students if the stress of class is affecting their personal lives? How many will say yes? The count number here is how many students say yes (that’s the count of the successful events). Where success and failure is defined by yourself… A store sells 10 computers with 1-year warranties. How many will not need repair within 1 year? The distribution of a count depends on how the data are produced. Binomial and Poisson
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Chapter 5 Section 5.2 2 Tossing a coin 100 times? (1)X = number of heads (where x is a count number), N = 100; (2) independent (3) {H,T} (4) p = 0.5 (where all probabilities have the same chance of happening) Rolling a dice 100 times? Not a binomial because there are SIX different settings. So the distribution is not equal for all probabilities.
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Chapter 5 Section 5.2 3 Binomial distribution The distribution of the count X of successes in the Binomial setting is the Binomial distribution with parameters n and p. n is the number of observations.
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n_0523 - This is binomial distribution. We want a...

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